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典型文献
Delay-Optimal Random Access in Large-Scale Energy Harvesting IoT Networks Based on Mean Field Game
文献摘要:
With energy harvesting capability,the Internet of things(IoT)devices transmit data de-pending on their available energy,which leads to a more complicated coupling and brings new techni-cal challenges to delay optimization.In this paper,we study the delay-optimal random access(RA)in large-scale energy harvesting IoT networks.We model a two-dimensional Markov decision process(MDP)to address the coupling between the data and energy queues,and adopt the mean field game(MFG)the-ory to reveal the coupling among the devices by uti-lizing the large-scale property.Specifically,to obtain the optimal access strategy for each device,we derive the Hamilton-Jacobi-Bellman(HJB)equation which requires the statistical information of other devices.Moreover,to model the evolution of the states dis-tribution in the system,we derive the Fokker-Planck-Kolmogorov(FPK)equation based on the access strat-egy of devices.By solving the two coupled equations,we obtain the delay-optimal random access solution in an iterative manner with Lax-Friedrichs method.Fi-nally,the simulation results show that the proposed scheme achieves significant performance gain com-pared with the conventional schemes.
文献关键词:
作者姓名:
Dezhi Wang;Wei Wang;Zhaoyang Zhang;Aiping Huang
作者机构:
College of Information Science and Electronic Engineering,Zhejiang University,Hangzhou 310027,China,and Zhejiang Provincial Key Laboratory of Information Processing Communication and Networking,Zhejiang University,Hangzhou 310027,China
引用格式:
[1]Dezhi Wang;Wei Wang;Zhaoyang Zhang;Aiping Huang-.Delay-Optimal Random Access in Large-Scale Energy Harvesting IoT Networks Based on Mean Field Game)[J].中国通信(英文版),2022(04):121-136
A类:
queues
B类:
Delay,Optimal,Random,Access,Large,Scale,Energy,Harvesting,IoT,Networks,Based,Mean,Field,Game,With,energy,harvesting,capability,Internet,things,devices,transmit,data,pending,their,available,which,leads,more,complicated,coupling,brings,new,techni,challenges,delay,optimization,this,paper,study,optimal,random,access,RA,large,scale,networks,We,model,dimensional,Markov,decision,process,MDP,address,between,adopt,mean,field,game,MFG,ory,reveal,among,by,lizing,property,Specifically,obtain,strategy,each,derive,Hamilton,Jacobi,Bellman,HJB,requires,statistical,information,other,Moreover,evolution,states,dis,tribution,system,Fokker,Planck,Kolmogorov,FPK,By,solving,coupled,equations,solution,iterative,manner,Lax,Friedrichs,method,nally,simulation,results,show,that,proposed,achieves,significant,performance,gain,pared,conventional,schemes
AB值:
0.635792
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